Exploring the key differential genes associated with sepsis prognosis Based on weighted gene co-expression network analysis
Objective To study the key genes related to the sepsis diagnosis and prognosis based on bioinformatics analysis.Methods Five sepsis microarray datasets were downloaded from the GEO database and screened for sepsis key differential genes by differential analysis and WGCNA methods.The differential genes were analyzed by GO and KEGG functional enrichment.PPI networks were constructed and downloaded from the STRING database,key genes were obtained using Cytoscape software,and the diagnostic value of genes was evaluated using ROC curves.K-M survival analysis and WGCNA were used to find prognosis-related core genes.Immune cell ratio evaluation was performed using the CIBERSORT algorithm.Results Differential analysis of the three study group datasets yielded 467 common differentially expressed genes(DEGs),and WGCNA screened 389 sepsis-associated genes,which overlapped to yield 189 sepsis-associated EDGs.These differentially expressed genes GO were mainly enriched for myeloid leukocyte activation,positive regulation of cytokine secretion,etc.;KEGG were mainly enriched for Th1 and Th2 cell differentiation,Th17 cell differentiation and other pathways.Ten key genes were screened using the MCC algorithm,and these all showed good diagnostic value in both the study and validation group datasets,with ROC AUCs all>0.7.Three core genes associated with prognosis were screened using the K-M curves and WGCNA,namely CCL5,MMP-8,and RETN.GO of the differential genes in the MMP8 high and low expression groups were mainly enriched to the defense response of bacteria,activation of leukocytes involved in the immune response,etc.;KEGG was mainly enriched to the p53 signaling pathway,the FoxO signaling pathway,etc.CCL5,MMP-8,and RETN showed a close correlation with the content of immune cells.Conclusion Ten sepsis-associated core differential genes were obtained by screening,among which CCL5,MMP8 and RETN may be prognostic factors for sepsis patients.
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